Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103842
Title: A multivariate synthetic double sampling T2 control chart
Authors: Khoo, Michael B. C.
Lee, H. C.
Wu, Zhang
Castagliola, Philippe
Keywords: DRNTU::Engineering::Mathematics and analysis
Issue Date: 2012
Source: Khoo, M. B. C., Wu, Z., Castagliola, P., & Lee, H. C. (2013). A multivariate synthetic double sampling T2 control chart. Computers & industrial engineering, 64(1), 179-189.
Series/Report no.: Computers & industrial engineering
Abstract: In this article, we propose a multivariate synthetic double sampling T2 chart to monitor the mean vector of a multivariate process. The proposed chart combines the double sampling (DS) T2 chart and the conforming run length (CRL) chart. On the whole, the proposed chart performs better than its standard counterparts, namely, the Hotelling’s T2, DS T2, and synthetic T2 charts, in terms of the average run length (ARL) and average number of observations to sample (ANOS). The proposed chart also outperforms the multivariate exponentially weighted moving average (MEWMA) chart for moderate and large shifts but the latter is more sensitive than the former towards small shifts. For a variable sample size chart, like the synthetic DS T2 chart, ANOS is a more meaningful performance measure than ARL. ANOS relates to the actual number of observations sampled but ARL merely deals with the number of sampling stages taken. Interpretation based on ARL is more complicated as either n1 or n1 + n2 observations are taken in each sampling stage.
URI: https://hdl.handle.net/10356/103842
http://hdl.handle.net/10220/16978
ISSN: 0360-8352
DOI: http://dx.doi.org/10.1016/j.cie.2012.08.017
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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